DocumentCode
1819132
Title
Diagnosis: hypothetical reasoning with a competition-based neural architecture
Author
Wang, Shengrui ; El Ayeb, Bechir
Author_Institution
Fac. de Sci., Sherbrooke Univ., Que., Canada
Volume
1
fYear
1992
fDate
7-11 Jun 1992
Firstpage
7
Abstract
Diagnosis is an active research area where many diagnostic methods have been proposed. The features that characterize these methods are made explicit in a conventional framework as well as in a neural framework. Specifically, it is shown that each representation type of diagnostic knowledge requires a specific reasoning type whichever framework is adopted, logical or neural. A competition-based neural architecture is proposed to mechanize hypothetical reasoning
Keywords
diagnostic expert systems; inference mechanisms; neural nets; competition-based neural architecture; diagnostic knowledge; diagnostic methods; hypothetical reasoning; reasoning type; Data analysis; Fault trees; Neural networks; Wide area networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location
Baltimore, MD
Print_ISBN
0-7803-0559-0
Type
conf
DOI
10.1109/IJCNN.1992.287196
Filename
287196
Link To Document